metadata
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: ndaclassifier
results: []
ndaclassifier
This model was trained from scratch on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.5165
- Accuracy: 0.6601
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 5e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3.0
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| No log | 1.0 | 77 | 2.3181 | 0.4379 |
| No log | 2.0 | 154 | 1.7065 | 0.6405 |
| No log | 3.0 | 231 | 1.5165 | 0.6601 |
Framework versions
- Transformers 4.36.2
- Pytorch 2.0.0
- Datasets 2.16.0
- Tokenizers 0.15.0